Mathias is Head of Data for Marketing at N26, the Berlin-based neobank valued at over $9 billion. He joined as a Senior Data Analyst in May 2020 and has since scaled the team to 12 people.

We address :

🔥 His journey to becoming Head of Data for Marketing at N26

🔥 His main projects: Marketing Mix Modeling, User Value Modeling, Data Governance & Data Quality

🔥 The data stack at N26: AWS, Snowplow, dbt, Redshift, Metabase…

🔥 His main challenges: scale-up volatility and the classic imposter syndrome

📚 RESOURCES

- Mathias’s LinkedIn profile

- The book of Zhamak Dehghani Data Mesh : Delivering Data-Driven Value at Scale

- The book of Joe Reis & Matt Housley Fundamentals of Data Engineering: Plan and Build Robust Data

- The book of Gene Kim, Kevin Behr and George Spafford The Phoenix Project

- The book of Gene Kim The DevOps Handbook

- The book of Gene Kim The Unicorn Project

- The book of Gene Kim, Jez Humble and Nicole Forsgren PhD Accelerate

🎬 CHAPTERS

00:00 Introduction to N26

03:25 How he became Head of Data for Marketing at N26

10:49 1st project: implementing a Marketing Mix Model

17:36 2nd project: building a User Value Model

20:57 3rd project: Data Governance & Quality

23:37 The data stack at N26

25:16 The biggest challenges

29:29 What’s next: decision automation

31:11 Mathias’s favorite resources

32:14 Why he loves working in data

🤩 OTHER EPISODES YOU SHOULD LOVE

#1 - BlaBlaCar : Managing 50 Data People with Manu, VP Data

#2 - Deezer : How I restructured the Business Analytics team and made it more Business-Focused

#3 - Aircall: Adapting the Data Strategy to the slowing economic environment

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2/ Leave a 5 stars review on Apple Podcasts here 🥰

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Colin is the co-founder & CEO of Omni, the Business Intelligence tool that has seen rapid adoption over the past years. By 2025, Omni had raised $69 million and reached a valuation of $650 million. Many data leaders are now choosing to abandon their traditional BI tools in favor of Omni.

We address :

🔥 Why Colin left his role as VP of Product at Looker to build a new BI tool

🔥 The Omni vision: reconciling enterprise BI governance with the flexibity of Excel and SQL

🔥 AI for Analysis (”chat with your data”): what Omni did differently in its Semantic Layer to make it work

🔥 The future of Data teams when anyone can do complex analyses in minutes

❤️ SPONSOR

This episode is made possible by Omni, the next-generation BI platform already used by many companies (Brevo, Photoroom, etc.).

👉 Discover the demos

📚 RESOURCES

- Colin's LinkedIn

- Jason Lemkin’s SaaStr blog

- Dave Kellog’s Kellblog blog

- Demos on the Omni website (Build in Public)

🎬 CHAPTERS

00:00 Colin’s career path

01:37 Omni’s initial vision

05:07 From Looker to Omni

09:42 Why data leaders choose Omni

15:53 AI for Analysis (”Chat with your data”): what Omni did differently in its Semantic Layer to make it work

20:12 “Building in public” at Omni

24:36 The evolution of data teams

30:58 The specifics of the French market

32:30 Colin’s resource recommendations

33:13 What he likes most about data

🧐 OTHER EPISODES

#1 - BlaBlaCar : Managing 50 Data People with Manu, VP Data

#2 - Deezer : How I restructured the Business Analytics team and made it more Business-Focused

#3 - Aircall: Adapting the Data Strategy to the slowing economic environment

🎙 SUPPORT THE PODCAST FOR FREE

1/ Subscribe 🔔

2/ Leave a 5 stars review on Apple Podcasts here 🥰

Hosted on Acast. See acast.com/privacy for more information.

Edouard Flouriot is Director of Data at Aircall, the phone and communication platform designed for sales and support teams. Active in more than 100 countries with more than 10,000 customers, Aircall achieved centaur status after securing over $100 million in annual recurring revenue in 2022. In this episode, Edouard is sharing insights on its biggest recent challenge, which is: how to adapt the data strategy to the slowing economic environment?

We address:

🔥 The overall economic context for scaleups: going from hyperscale to a slower controlled growth

🔥 His conviction that this context requires more centralisation rather than decentralisation (aka Data Mesh)

🔥 How centralisation enables more governance and control over costs and ressource management

🔥 The initiatives that they launched around 3 pillars: cost tracking, project structure and culture shift.

🎬 CHAPTERS

00:00 Trailer

00:43 Introduction

01:41 The context

04:33 The 3 key implemented actions

05:02 1st action: shifting the culture towards more control and governance

07:38 2nd action: being more budget conscious by optimizing current tools & migrating to new ones

10:47 Focus on Fivetran & Looker

13:30 3rd action: identifying where to invest the efforts to better structure projects

18:01 The other challenges Edouard faced

20:00 Edouard’s ressource recommendations

21:07 What he likes most about data

21:51 What made him improve the most

22:47 The best advice Edouard ever received

📚 RESSOURCES

- The book Trillion Dollar Coach

- The article “The Next Era of Data at Instacart” by Nate Kupp

🧐 OTHER EPISODES

#1 - BlaBlaCar : Managing 50 Data People with Manu, VP Data

#2 - Deezer : How I restructured the Business Analytics team and made it more Business-Focused

🎙 SUPPORT THE PODCAST FOR FREE

1/ Subscribe 🔔

2/ Leave a 5 stars review on Apple Podcasts here 🥰

Hosted on Acast. See acast.com/privacy for more information.